Rivers State University of Science and Technology

About: Rivers State University of Science and Technology is a education organization based out in Port Harcourt, Rivers, Nigeria. It is known for research contribution in the topics: Population & Threatened species. The organization has 1826 authors who have published 1833 publications receiving 15183 citations.

Pollution Evaluation Based on Physicochemical and Heavy Metal Levels of Miniokoro Stream, Port Harcourt, Nigeria

Abstract: Evaluation of physicochemical parameters and heavy metal levels in surface water of the Miniokoro stream, Port Harcourt, Nigeria were investigated to determine its potability and pollution status at various stations along the stream. The physicochemical parameters analyzed in the water samples were: pH, Temperature, Salinity, Electrical conductivity, TDS, DO, BOD, Alkalinity, Chloride, NH4 , NO3 , PO4 3, SO4 2while heavy metals such as Nickel, lead, Iron, Zinc and Chromium were analyzed using atomic absorption spectrophotometer. The results from the research showed an average concentration level of the physicochemical parameters such as pH (5.79-7.01), EC (136.43 960.67μS/cm), TDS (90.17 1517.67) and the spatial distribution of heavy metals: zinc (0.07 1.09mg/l), chromium (0.03 0.09mg/l), nickel (0.07 0.08mg/l) and iron (12.29 39.95mg/l). Water samples from various stations depicts the varying level of pollution along the stream when compared with national and international permissible limit. Thus, it suggests that the government Original Research Article Abbey et al.; AJOCS, 9(2): 27-37, 2021; Article no.AJOCS.64928 28 should develop and implement an effective waste management plans due to environmental and other anthropogenic impacts on the stream.

Towards Smart Green Energy Metering Design for OpenStack/Amazon Elastic Cloud Integration

Abstract: Energy demand in most African countries is insufficient thereby hindering economic development. By leveraging renewable technologies, the control and management of renewable micro-grids requires a robust/reliable design that supports smart integration via Cloud for dynamic service delivery. Motivated by this concern, this paper developed smart green energy management system (SGEMS) for optimizing demand side management (DSM) in renewable micro-grids. The architecture employs solar photovoltaic (PV) to generate energy and meters user consumption pattern. SGEMS global model for solar PV metering platform is introduced including structured OpenStack Cloud application with active load-balancers, Trove/Hadoop Bigdata application program interface (API), OpenFlow firewall, and dynamic network scaling. These features manage user access with little computational overhead. An experimental demonstration of OpenStack/Amazon EC2 instance scenarios for transactional workload is briefly highlighted. The work discussed the usefulness of OpenStack engine as a distributed API middleware for SGEMS-energy application running on AWS EC2.

Minimization of Handoff Failure in a Heterogeneous Network Environment using Multi Criteria Fuzzy System

Abstract: Handoff is an important aspect in the design of wireless communication that fulfills one of the major requirements for continued call connectivity as mobile traverses’ different wireless networks. One major challenge in heterogeneous network environment is vertical handoff, which relies on efficient decision making and fast selection strategy to reduce unnecessary handoff and failures. To achieve this goal, we propose the use of artificial intelligence-based techniques, Fuzzy Logic and Artificial Bee Colony (ABC) to decide when and where handoff would be initiated and an algorithm to select the best available network to the user. This approach relied on several parameters, the decision stage adopted network parameters such as RSSI, RSRQ and Throughput. While QoS parameters Bandwidth, Latency, Snr, Throughput, Cost and power were adopted for the selection stage. The simulation was carried out in two different stages using Matlab. The result showed decision was made at -80 dBm for RSSI, Throughput at 0.05Mbps and RSRQ at -25 dBm. While the output probability was 0.87 (87%). Results from the execution stage showed the selection to the best available network was achieved and the chosen network offered the lowest cost and highest Throughput to the user. Performance evaluation indicated that the number of handoffs was minimized and the execution time of the ABC algorithm showed better performance when compared to the Genetic Algorithm.

Test for Aggregational Gaussianity (AG) in Petroleum Prices Returns

Abstract: The work aims at investigating and establishing if Aggregational Gaussianity, (AG) is in the dynamics of petroleum prices. This AG aspect is the phenomenon in which the empirical distribution of log-returns tends to normality (or as the time scale over which the returns are calculated increases). In order to achieve this, the petroleum price series was tested for arch effects. In addition, tests for Aggregational Gaussianity, (AG) were carried out using qualitative (graphical) approach and inferential approach, (involving statistical inference). The study shows that the presence of arch effects does not guarantee existence of AG. It is also observed that qualitative (graphical) approach may suggest normality and hence, presence of AG, on the other hand, inferential approach (involving statistical tests) gives a better picture of the actual conclusion, of the presence (or otherwise) of AG in the data set, with a 99.97% rejection from normality by the three tests-Kolmogorov-simonorv,Shapiro-Wilks, and Anderson-darling. In the circumstance, there is no evidence to confirm a discernible presence of AG in the dynamics of petroleum prices. The non-existence of AG in the study shows the instability in the dynamics of petroleum prices, since one cannot invoke normality as an invariant property this, among other factors, make the economy unstable as it is oildriven. However, since the highest percentage of the budget for the country is based on the petroleum sales, which as this study reveals is unstable, hence, diversification of the economy is proposed. The softwares used in the work are Eviews 10, Minitab 18, Spss 17, Easy-fit 5.6 professional, and R 3.2.2.